Join Pfizer Digital’s Commercial Creation Center & CDI organization (C4) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians.
Develop end-to-end AI-powered features for DecisionIQ: from data ingestion and model integration through API development and frontend delivery
Build and maintain data ETL pipelines using Python and SQL; integrate ML model outputs into production application workflows
Develop server-side logic using Python and back-end technologies; implement RESTful APIs to connect AI components with the broader application
Create responsive, visually appealing web interfaces and interactive data applications using modern frontend frameworks (React, Vue) and visualization libraries (Dash, Streamlit, Tableau, Power BI)
Partner with product owners, data scientists, and local commercial stakeholders to gather user requirements and translate them into technical specifications
Enforce coding standards, best practices, and thorough testing (unit, integration, E2E) to ensure reliability and maintainability.

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
7+ years of experience in software engineering, data science, or related technical fields
Proven experience as a Full Stack Engineer or AI Solution Engineer with a strong portfolio of shipped products
Solid experience in Python and relevant ML libraries/frameworks (scikit-learn, TensorFlow, PyTorch)
Solid understanding of back-end technologies, databases (SQL and NoSQL), and RESTful APIs
Good knowledge of data manipulation, preprocessing, feature engineering, and ETL pipeline development
Good understanding of statistical modeling, machine learning algorithms, and data mining techniques
Experience building interactive web applications with JavaScript frameworks (React, Vue, or AngularJS)
Experience building dashboards and data applications (Tableau, Power BI, Dash, Streamlit)
Familiarity with cloud-based analytics ecosystems (AWS, Snowflake)
Proficiency in Git for version control
Hands-on experience working in Agile teams, processes, and practices
Highly self-motivated; strong English communication skills (written and verbal).

Senior Manager, AI Engineer

Key skills